KR102540112B1 - Customized rehabilitation method using lower-limb muscle functional assessment - Google Patents

Abstract

The present invention is a customized rehabilitation training method that recommends at least one or more of strength training, muscle power training, and detailed exercise variables when the balance ability, the number of sitting and getting up from a chair, and the walking speed measured during the evaluation of lower extremity muscle function before rehabilitation training are less than a predetermined reference value. It relates to a program stored in a computer readable recording medium for implementing.

Description

Customized rehabilitation training method through lower extremity muscle function evaluation {CUSTOMIZED REHABILITATION METHOD USING LOWER-LIMB MUSCLE FUNCTIONAL ASSESSMENT}

The present invention is a customized rehabilitation training method through lower extremity muscle function evaluation, and includes an algorithm for selecting a muscle strength or muscle power training mode and detailed exercise parameters according to evaluation results before training, or a program stored in a computer readable recording medium that implements the algorithm. . In addition, it includes an algorithm that quantitatively and automatically evaluates the training effect and the degree of improvement of lower extremity muscle function through muscle function evaluation after muscle strength training or muscle power training, and provides feedback, or a program stored in a computer readable recording medium that implements the algorithm.

Along with the increase in the elderly population, the incidence of sarcopenia and knee degenerative arthritis in the elderly is increasing. Sarcopenia and knee arthritis have expanded to secondary diseases such as deterioration of physical function and falls/injuries in the elderly, greatly threatening the health life span of the elderly. As a result, in addition to hospital treatment, interest in community silver care services for aging people continues to live in comfortable homes or familiar communities, and demand for non-face-to-face rehabilitation exercise equipment outside the hospital is increasing due to the increase in demand for non-face-to-face exercise due to COVID-19. is on the rise

However, in the past, each training method, such as strength training and muscle power training, was applied to separate exercise equipment, and there was no effective lower extremity training protocol tailored to the condition of the elderly. In the past, supplementary rehabilitation treatment was performed to improve lower extremity function by performing uniform and standardized treatment without considering the individual characteristics of the patient, depending on the experience of a physical therapist. Recently, with the introduction of IT technology, rehabilitation training is being conducted using virtual reality and robots, but it is still difficult to provide individualized treatment to patients, and it is mainly implemented in hospitals. Eccentron, one of the prior art, is an eccentric muscle strength training device, and requires a large installation space, making it difficult to use at home.

Republic of Korea Patent Publication No. 10-2018-0058688

The present invention is a customized rehabilitation training method through lower extremity muscle function evaluation, wherein a muscle strength or muscle power training mode and detailed exercise variables are selected according to evaluation results before training.

In order to solve the existing problems of requiring physical examination at various stages/places and difficult to precisely identify factors of reduced muscle function, the present invention can quantitatively measure whether or not muscle function is improved by evaluating the muscle function of the lower extremities before and after training.

A customized rehabilitation training method through lower extremity muscle function evaluation according to an embodiment for realizing the object of the present invention is a balance ability measured during the lower extremity muscle function evaluation before rehabilitation training, the number of times of sitting down and getting up from a chair, and walking speed are less than a predetermined reference value. It may include a program stored in a computer readable recording medium for implementing a customized rehabilitation training method that recommends at least one or more of muscle strength training, muscle power training, and detailed exercise parameters.

In one embodiment, the method compares the balance ability, the number of sitting and getting up from a chair, and the gait speed measured during the evaluation of the muscle function of the lower extremity after rehabilitation training with the balance ability, the number of sitting and rising from the chair, and the walking speed measured during the evaluation of the muscle function of the lower extremity before the rehabilitation training. Thus, it may include a program stored in a computer-readable recording medium for implementing a customized rehabilitation training method that quantitatively evaluates the effect of the recommended muscle strength training or muscle power training and the degree of improvement in lower extremity muscle function and gives feedback.

The present invention prevents the deterioration of sarcopenia and knee degenerative arthritis through muscle strength and muscle power training, improves quality of life, and increases the healthy lifespan of the elderly. In addition, due to this, the present invention presents personalized training guidelines non-face-to-face without visiting a hospital, and provides verified and proven We provide a rehabilitation protocol tailored to the elderly.

1 is a schematic diagram of a customized rehabilitation training method through lower extremity muscle function evaluation.
2 is an example of rehabilitation exercise equipment that evaluates lower extremity muscle function and performs lower extremity muscle strength training and muscle power training.

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings. Although the present invention has been described with reference to the embodiments shown in the drawings, this will be described as one embodiment, whereby the technical spirit of the present invention and its core configuration and operation are not limited.

The customized rehabilitation training method allows the patient to train by selecting one of muscle strength training and muscle power training based on lower extremity muscle function information evaluated before training. Additionally, the customized rehabilitation training method can provide detailed training guidelines such as individual training intensity, training frequency, and training time by applying the lower extremity muscle function information evaluated before training and applying it to the motor learning model.

After strength training and muscle power training, the lower extremity muscle function evaluation is re-executed in the same way as before rehabilitation training, and compared with the evaluation results before training, the rehabilitation training effect is quantitatively measured and fed back.

1 is a schematic diagram of a customized rehabilitation training method through lower extremity muscle function evaluation.

Referring to FIG. 1 , the reduced lower extremity muscle function determination algorithm determines that the patient's lower extremity muscle function is reduced when the values including the balance ability evaluation, the number of sitting and getting up from a chair, and the walking speed measured before rehabilitation are less than a predetermined reference value. can The reduced lower extremity muscle function determination algorithm may derive results for at least one of reduced balance ability, reduced muscle strength, and reduced muscular endurance based on the lower extremity muscle function evaluation result. The operation by the reduced lower extremity muscle function determination algorithm may be at least partially implemented as a computer program.

In one embodiment, the balance ability evaluation in the lower extremity function evaluation step before training may be performed through a balance ability measuring instrument. The balance ability measuring device can determine whether the change in the patient's weight support area is appropriate according to the degree of disturbance of the center of gravity of the rehabilitation patient by measuring the position of the patient's foot on the footrest of the rehabilitation device.

In addition, the balance ability measuring device according to an embodiment of the present invention may further include a center of gravity measurement unit for measuring the center of gravity of the patient standing on the footrest. In this case, the position of the patient's foot measured by the foot position measurement unit. In addition, it is possible to determine whether the change in the patient's weight bearing area according to the degree of disturbance from the patient's center of gravity measured by the center of gravity measuring unit is appropriate.

The balance ability measuring instrument reads the measured reaction time, speed, direction of movement, movement distance, movement distance of the center of gravity, and degree of change in the center of gravity to determine the change in the patient's weight bearing area, and measures the identified change in the patient's weight bearing area. It is possible to determine whether the patient's weight bearing area change is appropriate by comparing the pre-recorded and stored movements of a normal person, that is, the weight bearing area change of a normal person.

The reduced lower extremity muscle function determination algorithm may determine that the patient's balance ability is reduced if it is less than a preset reference value based on the patient's balance ability measured by the balance ability measuring instrument.

In one embodiment, in the lower extremity function evaluation step before training, the patient's lower extremity function may be evaluated according to the number of times of sitting and standing up from a chair for a predetermined period of time. For example, by setting a standard number of steps in advance, and repeating sitting and rising from a chair at predetermined time intervals (eg, 15 minutes), you can train by selecting detailed exercise variables such as exercise intensity, number of times, and time according to the result. there is.

The reduced lower extremity muscle function determination algorithm may determine that muscle strength is reduced when the measured number of times of sitting and getting up from a chair is less than a preset reference value.

In one embodiment, in the step of evaluating lower extremity function before training, the lower extremity function of the patient may be evaluated based on walking speed. For example, in moving a specific distance for a predetermined time (eg, 6 minutes), it is possible to train by selecting detailed exercise variables such as exercise intensity, number of times, and time according to walking speed.

The reduced lower extremity muscle function determination algorithm may determine that the muscular endurance is reduced when the measured walking speed is less than a preset reference value.

In the lower extremity function evaluation stage after rehabilitation, balance ability, the number of times of sitting and rising from a chair, and walking speed can be measured in the same manner as in the lower extremity function evaluation stage before rehabilitation training.

The first value, which is a result of balance ability, the number of sitting and rising from a chair, and walking speed, measured during the lower extremity function evaluation before training, and the second value, which is a result of balance ability, the number of sitting and rising from a chair, and walking speed, measured in the training result evaluation step after training. By comparing the values, it is possible to quantitatively and automatically evaluate the improvement of lower extremity muscle function.

In one embodiment, the balance ability, the number of sitting and getting up from a chair, and the walking speed measured during the evaluation of lower extremity muscle function after rehabilitation training may be applied again to the reduced lower extremity muscle function determination algorithm. If the lower extremity muscle function determination algorithm determines that at least one of balance ability, muscular strength, and muscular endurance has deteriorated even after rehabilitation training, feedback is given to the patient and rehabilitation training can be recommended again.

The customized rehabilitation training method allows the patient to train again by selecting one of muscle strength training and muscle power training based on lower extremity muscle function information determined from the lower extremity muscle function algorithm after training. In addition, by applying the lower extremity muscle function information after training to the motor learning model, detailed training guidelines such as individual training intensity, training frequency, and training time can be provided again.

2 is an example of rehabilitation exercise equipment that evaluates lower extremity muscle function and performs lower extremity muscle strength training and muscle power training.

Referring to FIG. 2 , rehabilitation exercise equipment is a device used to acquire various information on the function of the lower extremities of a patient. The rehabilitation exercise equipment includes a display unit that outputs lower extremity muscle function information; Two footrests bound to the patient's two feet; and at least one sensor connected to the footrest to measure the muscle function of the lower extremity of the patient. The rehabilitation exercise equipment may further include a seat in which a patient can be seated.

The patient interacts with the rehabilitation exercise equipment to perform training to strengthen muscle strength. Rehabilitation exercise equipment increases the patient's level of immersion, and can further execute programs capable of training such as muscle power training.

The present invention prevents the deterioration of sarcopenia and knee degenerative arthritis through muscle strength and muscle power training, improves quality of life, and increases the healthy lifespan of the elderly. In addition, it solves the existing problems of requiring physical examination at various stages/places and difficult to accurately identify the factors of reduced muscle function, allowing patients to perform rehabilitation exercises with high safety and convenience at a desired time at a place where the elderly are located, such as at home, welfare centers, and nursing facilities. It presents personalized training guidelines to patients non-face-to-face without visiting a hospital and provides a verified rehabilitation protocol tailored to the elderly.

The operation by the customized rehabilitation training method according to the embodiments described above may be at least partially implemented as a computer program and recorded on a computer-readable recording medium. For example, implemented together with a program product consisting of a computer-readable medium containing program code, which may be executed by a processor to perform any or all steps, operations, or processes described.

A customized rehabilitation training method according to another aspect of the present invention may be performed by a computing device including a processor. The computing device may be any device that may be integrated with or may be a computing device such as a desktop computer, laptop computer, notebook, smart phone or the like. A computer is a device that has one or more alternative and special purpose processors, memory, storage, and networking components (whether wireless or wired). The computer may run, for example, an operating system compatible with Microsoft's Windows, Apple's OS X or iOS, a Linux distribution, or an operating system such as Google's Android OS.

The computer-readable recording medium includes all types of recording and identification devices in which data readable by a computer is stored. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage and identification devices, and the like. In addition, computer-readable recording media may be distributed in computer systems connected through a network, and computer-readable codes may be stored and executed in a distributed manner. In addition, functional programs, codes, and code segments for implementing this embodiment can be easily understood by those skilled in the art to which this embodiment belongs.

Meanwhile, although specific embodiments have been described in the description of the invention, various modifications are possible without departing from the scope of the technical idea contained in the various embodiments. Therefore, the scope of the present invention should not be limited to the described embodiments and should not be defined, but should be defined by not only the claims to be described later, but also those equivalent to these claims.

Claims (2)

A program stored in a computer readable recording medium for implementing a customized rehabilitation training method based on lower extremity function evaluation by the lower extremity muscle function determination algorithm, the lower extremity muscle function determination algorithm comprising:
The lower extremity function was evaluated based on the balance ability, the number of times of sitting and getting up from a chair, and the walking speed measured during the evaluation of the lower extremity muscle function before rehabilitation training.
The evaluation determines that the balance ability is reduced when the balance ability is less than a predetermined reference value,
When the number of times of sitting and getting up from the chair is less than a predetermined reference value, it is determined that muscle strength is reduced,
When the walking speed is less than a predetermined reference value, it is determined that muscular endurance is reduced,
According to the determination result, at least one or more of strength training, muscle power training, and detailed exercise variables are recommended,
The customized rehabilitation training method includes a motor learning model,
Applying the lower extremity muscle function information evaluated before rehabilitation training to the motor learning model to provide detailed training guidelines including one or more of training intensity, training frequency, and training time,
By applying the results of evaluation by the lower extremity muscle function determination algorithm after rehabilitation training to the motor learning model, detailed training guidelines including at least one of training intensity, training frequency, and training time are provided again, characterized in that, customized rehabilitation A program stored in a computer readable recording medium for implementing a training method.
According to claim 1,
The recommended strength training or muscle power was obtained by comparing the balance ability, the number of chair sit-ups, and walking speed measured during the evaluation of lower limb muscle function after rehabilitation with the balance ability, number of sit-and-stand, and gait speed measured during the evaluation of lower limb muscle function before the rehabilitation training. A program stored in a computer-readable recording medium for implementing a customized rehabilitation training method that quantitatively evaluates the effect of training and the degree of improvement in lower extremity muscle function and provides feedback.

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